Nono Kamga, Gervais
(2018).
Modeling and analysis of wireless information and energy transmission in MIMO systems.
Thèse.
Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en télécommunications, 91 p.
Résumé
The next generation of wireless communications systems are expected as a revolution
in the area of telecommunications, where they promise tremendous network capacity,
huge data rates for very high number of end users and simultaneous supported connections
with large sensor deployments, as well as very high gains in terms of spectral
efficiency, energy efficiency, latency, and coverage. To allow the emergence of such
networks, it is necessary to satisfy the fundamental needs of available energy supply,
and spectrum availability/efficient usage.
The wireless power transfer (WPT) techniques are shown to be strong, reliable
with the potential to replace the currently-used yet painstaking wired charging; providing
the end users with almost unlimited energy sources. Due the outstanding advantages
these techniques promise, both academic world and the industry are actively
investigating solutions for allowing networks to implement WPT, where the operating
nodes can simultaneously harvest/transmit energy, while processing data signals.
On the other hand, for solving the spectrum efficient usage/availability issue, improving
the spectral efficiency has been extensively investigated through the several past
years, and represents a very strong solution. In this regards, regular multiple-input
multiple-output (MIMO) antenna technique, since the last decade, and, more recently,
massive MIMO; have been widely exploited and are powerful wireless technologies for
tremendously improving the spectral efficiency, and even energy efficiency.
Thanks to the above capabilities of regular- and massive MIMO, and of the WPT,
these techniques have become strong candidates for the development and the emergence
of the next-generation wireless communications networks. Considering that
the theoretical understanding and practical deployment of these systems requires to
first evaluate their performances, while taking into account various key propagation
and networks characteristics; this thesis aims to provide a framework for channel modeling and performance analysis of next-generation wireless communications networks,
with information processing and energy harvesting, and implementing regularand/
or massive MIMO. More specifically, as a first step, in the initial part of the
thesis, a generalized analysis for the spectral efficiency of both regular- and large-scale
(massive) MIMO systems is performed, where major radio-propagation characteristics
and antenna-array parameters are taken into account, including path loss, shadowing
effect, multi-path fading, antenna correlation, antenna polarization, environmental
cross-polarization coupling and antenna cross-polarization discrimination.
The second step of the thesis conducts the modeling and performance analysis of
massive MIMO systems in terms of spectral efficiency, in both the centralized and
the distributed configurations, referred to as centralized (C-MIMO) and distributed
(D-MIMO), respectively. This is based on a novel comprehensive channel model,
which accounts for real environmental parameters and antenna characteristics, namely,
path loss, shadowing effect, multi-path fading and antenna correlation.
In the third part of the thesis, WPT is investigated. This is done by considering
massive MIMO WPT systems, operating in millimeter wave (mmWave) bands; where
both the rainy and non-rainy conditions are considered, and the channel model accounts
for rainfall effects, path loss and fast fading. Then, finally, the fourth step
of the thesis investigates the performance of networks with simultaneous energy harvesting
and information transmission. The considered system implements massive
MIMO, and operates in the mmWave bands, while accounting for rainfall effect, path
loss and fading.
While conducting the work, the adopted methodology consists of modeling the
channel, by considering major radio-propagation characteristics and antenna-array
parameters; then conducting the performance analysis, in terms of the spectral efficiency
(in the first two parts of the thesis), the harvested energy (in the third part),
and the throughput (in the fourth part). These metrics are all derived in closed-form
then studied in various key practical scenarios, to obtain important insights which
are not only highly important for the comprehension of the different technologies
in future networks, but will also benefit system designers and manufacturers in the
design of these systems and their operating nodes.
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